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Linjing Wu; Shuang Yu; Qingtang Liu; Junmin Ye; Xinxin Zheng; Jianhu Wang – Journal of Computing in Higher Education, 2025
Interdisciplinary collaboration is widely used in research, industry, and education. Understanding the differences in cognitive processes between cross-discipline and same-discipline groups can improve instruction in collaborative learning. In this study, students volunteered to participate in cross-discipline or same-discipline collaborative…
Descriptors: Intellectual Disciplines, Cooperative Learning, Comparative Analysis, Interdisciplinary Approach
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Yiluo Wang; Lifang Pan – Education and Information Technologies, 2025
At present, when the educational process takes place both in classrooms and remotely, the role of innovative technologies is rapidly increasing. The purpose of the study is to determine the influence of immersive virtual reality in teaching on predictors of emotional intelligence development in university students. The questionnaire method was…
Descriptors: College Students, Computer Simulation, Emotional Intelligence, Technology Integration
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Alexandra S. Dylman; Marie-France Champoux-Larsson; Candice Frances – Educational Psychology, 2025
We report four experiments investigating the effect of prosody on listening comprehension in 11-13-year-old children. Across all experiments, participants listened to short object descriptions and answered content-based questions about said objects. In Experiments 1-3, the descriptions were read in an emotionally positive or neutral tone of voice.…
Descriptors: Intonation, Middle School Students, Foreign Countries, Listening Comprehension
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Erika L. Thompson; Toufeeq Ahmed Syed; Zainab Latif; Katie Stinson; Damaris Javier; Gabrielle Saleh; Jamboor K. Vishwanatha – Journal for STEM Education Research, 2025
Given the differences in trajectory for under-represented minorities in biomedical careers, we sought to explore how a virtual mentoring program, the National Research Mentoring Network (NRMN), and its platform (MyNRMN), may facilitate transitions in the science, technology, engineering, mathematics, and medicine (STEMM) pipeline. The purpose of…
Descriptors: College Students, STEM Education, STEM Careers, Medical Education
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Marjan Ebadijalal; Shahab Moradkhani – Computer Assisted Language Learning, 2025
The present mixed-methods study aimed at investigating the effects of three writing conditions, including collaborative writing (CW), collaborative prewriting (CPW), and individual writing (IW), on the performance and motivation of 66 Iranian EFL learners in a computer-mediated communication (CMC) context. Data were obtained through a background…
Descriptors: Computer Assisted Instruction, Collaborative Writing, Prewriting, Writing (Composition)
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Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
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Yijia Hao; Yushi Liu; Bo Liu; George Amarantidis; Rami Ghannam – IEEE Transactions on Education, 2025
Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Artificial Intelligence
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Amina Bashir; Aamir Aziz; Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2025
With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…
Descriptors: Computer Assisted Instruction, Second Language Learning, Learning Motivation, Intention
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Suna-Seyma Uçar; Inigo Lopez-Gazpio; Josu Lopez-Gazpio – Education and Information Technologies, 2025
Recent advancements in large language models (LLMs) have shown potential in enhancing educational practices, particularly in technology-assisted learning environments. This study critically evaluates the reasoning capabilities of LLMs, such as ChatGPT, within the context of chemistry education. We designed targeted adversarial prompts that…
Descriptors: Abstract Reasoning, Thinking Skills, Artificial Intelligence, Technology Uses in Education
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Joseph Burey; Jasmine Kim; Nidhi Kohli; Kristen McMaster; Panayiota Kendeou – Grantee Submission, 2025
We evaluated the efficacy of Early Language Comprehension Individualized Instruction (ELCII), a supplemental computer-based early language comprehension intervention, in improving kindergarten students' inference making performance. In Study 1, students completed ELCII modules over nine weeks, whereas a business-as-usual control group engaged in…
Descriptors: Computer Assisted Instruction, Literacy Education, Individualized Instruction, Kindergarten
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Nicholas C. Hindy; Anthony J. Bishara; John R. Pani – Anatomical Sciences Education, 2025
Advances in brain imaging have led to a paradigm shift in neuroscience research, moving from focusing on individual brain structures to investigating neural networks and connections. However, neuroanatomy education still tends to concentrate on discrete brain regions. Two separate experiments in undergraduate neuroscience courses investigated…
Descriptors: Anatomy, Undergraduate Students, Neurosciences, Learning Processes
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Erick Fernando; Rosilah Hassan; Dina Fitria Murad; Zeyad Ghaleb Al-Mekhlafi – Educational Process: International Journal, 2025
Background/purpose: Education continues to evolve along with technological advances, and one of the biggest changes is the application of artificial intelligence (AI) in the learning process. The main problem in this study is the lack of in-depth understanding of the factors that influence the effectiveness of using AI in self-paced learning…
Descriptors: Literature Reviews, Meta Analysis, Bibliometrics, Artificial Intelligence
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Ivan Danar Aditya Irawan; Sentot Kusairi; Khusaini; Nur Akhyar Basri; Revnika Faizah; Muhammad Habibbulloh – Science Education International, 2025
In physics learning that emphasizes a student-centered approach, formative feedback strategically improves students' conceptual understanding and learning motivation. However, implementing feedback in the learning environment still faces various obstacles, including time constraints, many students, and a lack of personalization in its delivery.…
Descriptors: Physics, Formative Evaluation, Feedback (Response), Student Needs
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Wenli Chen; Zhongling Pi; Jesmine Tan; Xinghua Wang; Aileen Siew Cheng Chai; Qianru Lyu – Instructional Science: An International Journal of the Learning Sciences, 2025
Computer-supported collaborative argumentation (CSCA) is an effective pedagogy to help deepen the learners' understanding of content knowledge and develop their 21st-century competencies such as communication and collaboration skills, as well as creative and inventive thinking. In this study, the Spiral Model of Collaborative Knowledge Improvement…
Descriptors: Computer Assisted Instruction, Persuasive Discourse, Knowledge Level, 21st Century Skills
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Kaushal Kumar Bhagat; Tianchong Wang; Nitesh Kumar Jha; Georgios Lampropoulos – Australasian Journal of Educational Technology, 2025
The integration of immersive technologies, such as 360-degree virtual reality (VR) in education presents a promising avenue for enhancing teaching and learning. However, educators often face challenges due to limited technical expertise and resource constraints. This study examined the usability and readiness of educators in adopting the 360 VR…
Descriptors: Computer Simulation, Computer Uses in Education, Technology Integration, Educational Technology
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